📍 Berkeley, CA
🎓 Computer Science @ UC Berkeley
💻 Aspiring AI/ML Engineer
🌐 Website • LinkedIn • GitHub
June 2025 – Present
- Developed an AI chatbot using a vector database for retrieval-based question answering, achieving a consistent 98% accuracy on internal documentation
- Built a Census Quoting Generator powered by Claude Sonnet that processes Excel files by automatically normalizing and cleaning data for streamlined quoting workflows
- Engineered and optimized a data pipeline to extract insurance data into structured Excel, accelerating processing time from 9 minutes to 2.5 minutes
Sep 2024 – May 2025
- Applied prompt engineering techniques for large language models (LLMs), including prompt chaining, resulting in a 20% increase in model accuracy and a 10% reduction in response time
- Engineered 2+ front-end web interfaces using Chakra UI, incorporating features such as tooltips and modal pop-ups, reaching 5k uses in 3 days
- Proposed and collaborated on 10+ enhancements with the development team to improve product design and functionality as informed by user-experience reporting
Aug 2024 – Dec 2024
- Led a team of 4 to rapidly develop a clustering classifier based on geographic location, effectively streamlining the housing search process for 1+ million MAU
- Improved model’s performance and efficiency by 45% through implementing one-hot encoding and feature selection with Python, enhancing data analysis and preparation
- Attained 85% accuracy in classification on a test dataset of 6,800+ geographic locations. The model’s accuracy, recall, and F-1 score outperformed industry benchmark
🧑🤝🧑 Interconnect · College Loops Competition
- 1st Place Winner (200+ participants)
- Led front-end dev of a full-stack Facebook-style site with login, events, blogs, and contact features
♻️ TripleR · AthenaHacks
- Won Sustainability Award (130+ participants)
- Built a responsive site with Google Maps API integration for local recycling centers
Languages: Python, C++, Java, JavaScript, TypeScript, HTML, CSS, React
Libraries & Tools: Chakra UI, NumPy, Pandas, Scikit-learn, Matplotlib, Bootstrap
🎓 University of California, Berkeley
B.A. in Computer Science | Expected May 2026
Relevant Coursework: Data Structures, Discrete Math & Probability, Machine Learning, SICP, Data Science Foundations
🏅 Certifications:
- Machine Learning Foundations – Cornell University (July 2024)
- iOS App Development – Kode With Klossy (April 2023)
- Web Development – The App Brewery (August 2022)
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